Explore
Lane-Precise Localization with Production Vehicle Sensors and Application to Augmented Reality Navigation
Rabe, Johannes
2019
0 Ungluers have
Faved this Work
Login to Fave
This works describes an approach to lane-precise localization on current digital maps. A particle filter fuses data from production vehicle sensors, such as GPS, radar, and camera. Performance evaluations on more than 200 km of data show that the proposed algorithm can reliably determine the current lane. Furthermore, a possible architecture for an intuitive route guidance system based on Augmented Reality is proposed together with a lane-change recommendation for unclear situations.
This book is included in DOAB.
Why read this book? Have your say.
You must be logged in to comment.
Rights Information
Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.Downloads
This work has been downloaded 24 times via unglue.it ebook links.
- 24 - pdf (CC BY-SA) at Unglue.it.
Keywords
- localization augmented Reality navigation route guidance particle filter
- Lokalisierung Erweiterte Realität Navigation Routenführung Partikelfilter
- Lokalisierung Erweiterte Realität Navigation Routenführung Partikelfilter,localization augmented Reality navigation route guidance particle filter
Links
DOI: 10.5445/KSP/1000086154Editions